Comparison of estimation methods of cost and duration in IT projects

被引：42

作者：

Berlin, Stanislav ^{[2
]}

Raz, Tzvi ^{[2
]}

Glezer, Chanan ^{[1
]}

Zviran, Moshe ^{[2
]}

机构：

[1] Ariel Univ Ctr Samaria, Dept Ind Engn & Management, IL-44837 Ariel, Israel

[2] Tel Aviv Univ, Fac Management, IL-69978 Tel Aviv, Israel

来源：

INFORMATION AND SOFTWARE TECHNOLOGY | 2009年 / 51卷 / 04期

关键词：

Software engineering; Project cost estimation; Artificial neural networks; Regression; DEVELOPMENT CYCLE TIME; SOFTWARE; SUCCESS;

D O I：

10.1016/j.infsof.2008.09.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Producing accurate and reliable project cost estimations at an early stage of a project's life cycle remains a substantial challenge in the information technology field. This research benchmarks the performance of various approaches to estimating IT project effort and duration. Empirical data were gathered from various "real-world" organizations including several prominent Israeli high-tech companies as well as from the International Software Benchmarking Standards Group (ISBSG) IT project database. The study contrasts two types of models that have been employed to estimate project duration and effort separately: linear regression estimation models and models deriving from a more novel approach based on artificial neural networks (ANNs). (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：738 / 748

页数：11

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